[leftmargin=*]
GMF [1]}: This is a generalized version of MF by changing the inner product to the element-wise product and a dense layer.

NeuMF [1]}: The method is a state-of-the-art neural CF model which combines GMF with a Multi-Layer Perceptron (MLP).

CDAE [3]}: CDAE corrupts the
observed interactions with random noises, and then employs several linear layers to reconstruct the original datasets, which will increase its anti-noise abilities.

LightGCN [4]}: LightGCN is a newly proposed graph-based recommendation model which
learns user and item embeddings by linearly propagating them on the interaction graph.

